Data analysis techniques for neural networks-based virtual sensors

  • Authors:
  • Thomás López-Molina;Anna Pérez-Méndez;Francklin Rivas-Echeverría

  • Affiliations:
  • Universidad de Los Andes, Escuela de Estadística, Mérida, Venezuela;Universidad de Los Andes, Escuela de Estadística, Mérida, Venezuela;Universidad de Los Andes, Escuela de Estadística, Mérida, Venezuela

  • Venue:
  • NN'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Neural Networks - Volume 8
  • Year:
  • 2007

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Abstract

This work presents the use of statistical techniques for data analysis and processing for its use in the resolution of the most common problems of greater importance in the development of virtual sensors using artificial neural networks. The potentialities of use of such statistical techniques are studied and an example of an industrial process application appears.